Deep Learning Enabled Laser Speckle Wavemeter with a High Dynamic Range
Deep Learning Enabled Laser Speckle Wavemeter with a High Dynamic Range
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DOI：
10.1002/lpor.202000120
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发表时间：
2020-08-02
影响因子：
11
通讯作者：
Dholakia, Kishan
中科院分区：
文献类型：
--
作者：
Gupta, Roopam K.;Bruce, Graham D.;Dholakia, Kishan
当激光被无序介质散射时产生的散斑图案最近被证明可以给出令人惊讶的精确或宽带波长测量。这里表明，深度学习是使用散斑波长计分析波长变化的理想方法，因为它能够识别趋势并克服复杂数据集中的低信噪比。这种组合能够在一个步骤中在宽的操作范围内以高精度进行波长测量，具有出色的抑制仪器和环境噪声的能力，这是以前的方法所不可能实现的。研究表明，深度学习的噪声抑制能力在488 nm至976 nm的工作范围内提供了阿托米级的波长精度。该动态范围超出现有技术水平六个数量级。
The speckle pattern produced when a laser is scattered by a disordered medium has recently been shown to give a surprisingly accurate or broadband measurement of wavelength. Here it is shown that deep learning is an ideal approach to analyze wavelength variations using a speckle wavemeter due to its ability to identify trends and overcome low signal to noise ratio in complex datasets. This combination enables wavelength measurement at high precision over a broad operating range in a single step, with a remarkable capability to reject instrumental and environmental noise, which has not been possible with previous approaches. It is demonstrated that the noise rejection capabilities of deep learning provide attometre-scale wavelength precision over an operating range from 488 nm to 976 nm. This dynamic range is six orders of magnitude beyond the state of the art.